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AI Summary
The QA Engineer will ensure the reliability of the Coupler.io platform by testing integrations, investigating complex customer issues, and identifying edge cases. They will partner with engineering and product teams to improve system reliability and elevate debugging standards.
We’re looking for a QA Engineer who cares about product quality end-to-end. You’ll work on Coupler.io — a no-code data integration and analytics platform that provides instant access to 400+ sources and processes millions of records daily, helping ensure its reliability, accuracy, and smooth integrations.
You’ll focus on how the product works in real conditions: testing integrations, investigating edge cases, and resolving complex issues together with engineering, product, and support teams
What are we looking for?
Testing & QA expertise:
- Strong experience with manual testing and end-to-end validation
- Experience in investigating customer issues and performing root cause analysis
- Experience in API testing (working with docs + real behavior, identifying inconsistencies)
- Experience in building and improving QA processes
Technical skills:
- Strong debugging and problem-solving skills, including log analysis (CloudWatch, Logs Explorer)
- Good understanding of networks, HTTP, APIs, and web/client architectures
- Experience with version control systems (GitHub, GitLab, etc.)
- Experience using AI tools for workflow optimization
Communication & mindset:
- Ability to translate technical concepts for different audiences (engineering ↔ non-technical)
- Strong sense of ownership and accountability
- Structured, detail-oriented approach
- Fluent English (written and spoken)
Would be a plus
- Experience with Playwright (TypeScript)
Your responsibilities
- Analyze requirements, test functionality, and identify defects and edge cases
- Own investigation of complex customer issues through L3 support, driving root cause resolution
- Validate third-party API integrations across testing and production environments
- Partner with engineering and product to resolve issues and improve system reliability
- Improve QA practices and elevate debugging and investigation standards
- Support releases and ensure stable rollouts with active post-release follow-up
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